Title :
SAR imaging based on Compressed Sensing
Author :
Huan, Yifeng ; Wang, Junfeng ; Tan, Zhen ; Liu, Xingzhao ; Yu, Wenxian
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this paper, we propose a CS-based SAR imaging algorithm after analyzing the model of echoes from point target. Our reconstruction algorithm is two-dimensional, unlike current one-dimensional CS-based SAR imaging algorithms. It can reconstruct targets with high resolution from relatively small number of echoes and effectively improves the efficiency of reconstruction. The processing results of simulated data demonstrate the effectiveness of our algorithm.
Keywords :
geophysical image processing; image reconstruction; radar imaging; remote sensing by radar; synthetic aperture radar; 2D reconstruction algorithm; compressed sensing based SAR imaging algorithm; point target echo model; reconstruction efficiency; Compressed sensing; Dictionaries; Image reconstruction; Matching pursuit algorithms; Radar imaging; Radar polarimetry; Reconstruction algorithms; Compressive Sensing; Matching Pursuit; Radar Imaging; Sparse Reconstruction; Synthetic Aperture Radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049555
